• Karlsson Andrews posted an update 6 months ago

    To evaluate clinical prediction tools for making decisions in patients with severe urinary tract infections (UTIs).

    This was a retrospective study conducted at 2 hospitals (combined emergency department (ED) census 190,000). Study patients were admitted via the ED with acute pyelonephritis or severe sepsis-septic shock related UTI. Area under the receiver operating characteristic curve (AUROC) augmented by decision curve analysis and sensitivity of each rule for predicting mortality and ICU admission were compared.

    The AUROC of PRACTICE was greater than that of BOMBARD (0.15 difference, 95% confidence interval = 0.09-0.22), SIRS (0.21 difference, 95% CI = 0.14-0.28) and qSOFA (0.06 difference, 95% CI = 0-0.11) for predicting mortality. PRACTICE had a greater net benefit compared to BOMBARD and SIRS at all thresholds and a greater net benefit compared to qSOFA between a 1% and 10% threshold probability level for predicting mortality. PRACTICE had a greater net benefit compared to all other scores for predicting ICU admission across all threshold probabilities. A PRACTICE score >75 was more sensitive than a qSOFA score >1 (90% versus 54.3%, 35.7 difference, 95% CI = 24.5-46.9), SIRS criteria >1 (18.6 difference, 95% CI = 9.5-27.7), and a BOMBARD score >2 (12.9 difference, 95% CI = 5-12.9) for predicting mortality.

    PRACTICE was more accurate than BOMBARD, SIRS, and qSOFA for predicting mortality. PRACTICE had a superior net benefit at most thresholds compared to other scores for predicting mortality and ICU admissions.

    PRACTICE was more accurate than BOMBARD, SIRS, and qSOFA for predicting mortality. PRACTICE had a superior net benefit at most thresholds compared to other scores for predicting mortality and ICU admissions.

    Even if performing rapid influenza diagnostic tests test will not change clinical decision making, we sometimes perform at triage to reduce length of stay in Japan. Whether performing rapid influenza diagnostic tests at triage may shorten emergency department (ED) length of stay (LOS) is remains unclear. We aimed to determine the utility of rapid influenza diagnostic tests at triage in shortening ED length of stay LOS.

    We retrospectively reviewed medical records of patients discharged from our ED after receiving results from rapid influenza diagnostic tests during the influenza season from December, 2013 to March, 2019. Eligibility criteria were a walk-in visit, age ≥15 years, triage performed, rapid influenza diagnostic test administered, and no admission. The triage group received rapid influenza diagnostic tests at triage. The after-examination group received their tests only after examination by a doctor. The primary outcome was ED LOS after propensity score matching to adjust for several covariates.

    Of 2,768 eligible patients, 2,554 patients were enrolled in the triage group (n = 363) or after examination group (n = 2,191). There were 329 matched pairs after propensity score matching. Median ED LOS was significantly shorter in the triage group than in the after-examination group after propensity score matching (81 min (interquartile range 60 to 111) vs 106 min (IQR 80-142); median difference 24 min (95% confidence interval 17-30)).

    Performing rapid influenza diagnostic tests at triage was associated with shorter ED LOS during the influenza season.

    Performing rapid influenza diagnostic tests at triage was associated with shorter ED LOS during the influenza season.

    In 2006, the Centers for Disease Control and Prevention (CDC) recommended non-targeted, opt-out HIV screening in all healthcare settings, including emergency departments (EDs). Multiple HIV testing programs have been implemented in EDs across the United States with varying designs and testing platforms. We report findings from a free, non-targeted, rapid HIV testing program in 2 EDs in the Southeastern United States.

    From 2008 to 2012, adults ≥18 years of age were offered free rapid HIV testing using an oral swab test (OraQuick ADVANCE Rapid HIV-1/2 antibody test) in the EDs of a large academic medical center and an affiliated community hospital in Durham, North Carolina.

    In total, 5443 ED patients were offered HIV testing. The overall acceptance rate was 66.9% (3639/5443). Apocynin in vivo Younger persons were significantly more likely to accept testing (78.2% for 18-29 years old vs 67.1% for ≥30 years old;

    < 0.001) as were Black participants (72.6% Black vs 66.5% White;

    < 0.001). Acceptance rates improved significantly after opt-out oral consent replaced written consent (71.3% vs 63.1%;

    < 0.001). Seven new HIV diagnoses were confirmed during the testing program, resulting in a seropositivity rate of 0.19% (7/3639). There were 8 false-positive rapid oral HIV tests (positive predictive value = 46.7%).

    Although the number of new HIV diagnoses was low, implementation of this rapid, non-targeted ED screening program was feasible with high acceptance rates, particularly after introducing the opt-out oral consent approach.

    Although the number of new HIV diagnoses was low, implementation of this rapid, non-targeted ED screening program was feasible with high acceptance rates, particularly after introducing the opt-out oral consent approach.

    The emergency department provides opportunities for identifying undiagnosed HIV cases. We sought to describe the racial and sex epidemiology of HIV through ED screening in Harris County, Texas, one of the most diverse and populous metropolitan cities in the Southern United States.

    We used a descriptive secondary analysis of a universal HIV screening program (2010-2017) to quantify demographic differences in HIV incidence. We applied a validated codebook to a dataset by the local health department containing 894,387 records of ED visits with 62 variables to assess race/ethnicity and sex differences.

    Of 885,199 (98.9%) patients screened for HIV during an ED visit, 1795 tested positive (incidence rate=0.2%). Of those tested for HIV, most were White (66.3%), followed by racial minorities (African Americans (29.9%), Asians (3.6%), and American Indian, Alaska Native, Native Hawaiian or Pacific Islanders (natives) (0.1%). Half of those tested were Hispanic. Conversely, of patients testing positive (n=1782, 99.

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